Lead Software Engineer, Java, Equities Derivatives Front Office Flow Technology

JPMorgan Chase JPMorgan Chase · Banking · Singapore · Commercial & Investment Bank

Lead Software Engineer for Equities Derivatives Front Office Flow Technology, focusing on developing pricing, quoting, and market view applications. The role involves driving automation, onboarding new products, integrating with AI/ML autopricers, and extending vendor connectivity. Responsibilities include developing Java services, C#/WPF and JavaScript front-end applications, and cloud-based solutions, with a strong emphasis on API design, code reviews, and testing.

What you'd actually do

  1. Work with subject matter experts to develop solutions that meet business the business requirements.
  2. Develop java services integrated in the end to end processing of the derivative products
  3. Build C#/WPF and JavaScript front-end desktop applications to interface with the Java services
  4. Build a stable, efficient, scalable cloud based solution which will be deployed globally.
  5. Design and code a significant amount of a robust, secure and efficient API to persist / retrieve data and implement the business logic

Skills

Required

  • JAVA
  • OO design skills
  • object modelling
  • design patterns
  • development, deployment and maintenance of commercial service oriented application(s)
  • code management
  • testing
  • deployment practices
  • unit testing
  • problem solving skills
  • communication skills
  • fast paced team oriented environment
  • global team collaboration
  • full project lifecycle
  • breaking requirements down into technical deliverables
  • effort estimation

Nice to have

  • C#
  • WPF
  • .NET
  • ReactJS
  • Javascript
  • AWS
  • Kubernetes
  • Docker
  • Cloud technologies
  • simple derivative products
  • Unix or Linux knowledge
  • continuous integration and deployment processes
  • project management
  • service oriented platforms
  • open source frameworks
  • NoSQL systems
  • Cassandra
  • MongoDB

What the JD emphasized

  • integration with new innovative AI/ML led autopricers
  • Building integration with the next generation AI/ML platform